You’ve probably noticed something strange about artificial intelligence. It’s everywhere. It’s in your phone, your car, your doctor’s office. It writes your emails, generates your art, and even drives your car. But here’s the truth nobody wants to say: AI doesn’t exist. Not the way you think.
Jaron Lanier, the original virtual reality pioneer, sat down with Neil deGrasse Tyson and dropped a bomb that most media outlets are too scared to repeat: “There is no AI.” What we call “artificial intelligence” is actually a massive, hidden system of human labor and data extraction, repackaged as a magical machine. And it’s costing you your privacy, your money, and your sense of reality.
Let’s be clear: I’m not saying the technology isn’t impressive. It is. But the name? That’s a lie. And lies have consequences.
“The term ‘AI’ is the most successful marketing trick of the 21st century. It transforms a pyramid of exploited workers into a single, heroic robot.”
Think about it. Every time you ask ChatGPT a question, you’re not talking to a thinking machine. You’re talking to the ghost of millions of underpaid humans—data labelers, content moderators, and gig workers in countries you’ve never heard of—who have been trained to make the system look smart. The machine is just a puppet. The real intelligence is human, and it’s being extracted, packaged, and sold back to you.
This isn’t conspiracy theory. Lanier, a man who helped build the internet, is telling you this directly. He argues that the AI label is a deliberate linguistic trick designed to hide a massive transfer of wealth and privacy from the public to a handful of tech monopolies. When you use “AI,” you’re not getting smarter. You’re getting drained.
So why does everyone keep calling it AI? Because it’s easier. Because it sells. Because a magic box is more exciting than a global sweatshop of data miners. But the more we buy into the myth, the more power we give to the companies that profit from our confusion.
“Every time you use an AI, you’re not getting intelligence—you’re giving away your data, your labor, and your future.”
There’s a twist here, and it’s the cruelest part. The very thing that makes AI feel intelligent is the fact that it mirrors our own biases, our own language, our own mistakes. It’s a hall of mirrors. We think we’re talking to a machine, but we’re actually talking to ourselves—refracted through a corporate lens. The machine doesn’t think. It only reflects. And what it reflects is a system designed to extract value from you.
So what do we do? Start by calling it what it is: a data processing system, a predictive algorithm, a labor aggregation network. Stop romanticizing it. Start asking who benefits. Because the moment you see through the label, you regain power. You can’t be exploited by a myth you refuse to believe in.
This isn’t about being anti-technology. It’s about being pro-truth. The next time someone tells you AI is the future, ask them: whose future? And whose labor is making it possible? The answer might make you uncomfortable. But discomfort is the first step toward clarity.
Jaron Lanier and Neil deGrasse Tyson are trying to tell you something. Listen. Before the lie costs you everything.
FAQ
Q: Are you saying that AI doesn't exist at all? What about self-driving cars and image generators?
A: No, the technology exists—the algorithms, the neural networks, the outputs. But the term 'artificial intelligence' implies autonomous thought and reasoning, which is a fiction. These systems are sophisticated pattern-matching engines trained on human data and often supervised by human labor. Calling them 'intelligent' is a marketing choice, not a scientific one.
Q: If AI is a lie, what's the practical implication for me as a user?
A: You're probably paying for AI services with your data and attention, and those services are building wealth for a few corporations. The practical implication is that you should demand transparency: who labeled the data? How are your inputs used? And most importantly, stop treating AI outputs as truth. They're statistical correlations, not insights.
Q: Isn't this just a pessimistic take? AI has helped solve problems in medicine and climate science.
A: Absolutely, AI tools have done amazing things. But the label 'AI' obscures the human effort behind those successes. The real hero is the engineers, data scientists, and often underpaid workers who made it work. The myth of autonomous intelligence lets companies take full credit while hiding the human cost. The contrarian truth is that we can appreciate the tech without buying into the hype.